Enhancing Individual Privacy Preservation in Multi-Tenancy Cloud Environments through Secure Multi-Party Computations: A Differential Privacy-Based Data Partitioning Strategy

Balamurugan, Hashvant Vijay (2023) Enhancing Individual Privacy Preservation in Multi-Tenancy Cloud Environments through Secure Multi-Party Computations: A Differential Privacy-Based Data Partitioning Strategy. Masters thesis, Dublin, National College of Ireland.

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Abstract

Present-day multi-tenancy cloud systems make data security and individual privacy critical. This study offers a new and collective method to support privacy in cloud architecture. To prevent identity theft and unauthorized data access, this study combines Secured Multi-Party Computations featuring Differential Privacy (SMPC-DP), Micro-segmentation, and Multi-Factor Authentication (MFA). This complex approach utilizes intelligent data classification, adjusts to user behavior, protects network segments, and fixes faulty and open access rights. A comprehensive literature analysis that highlights the distinctive features of each component—MFA, micro-segmentation, intelligent information categorization using machine learning, and access permission management highlights the contributions made by the article. By combining these elements with SMPC-DP methods, strong data privacy is ensured. The real-time processing of intelligent data classification, the radius of impact decreased by micro-segmentation, and the flexibility of MFA characterize the originality of the project. By reducing open and broken access weaknesses, this innovative method improves cloud computing security. The study offers a comprehensive solution and offers insightful analysis and useful applications. This strategy, which secures the identities of users and data in multiple tenants cloud settings, revolutionizes the security paradigms of cloud infrastructure by merging these approaches. This research creates new opportunities for data from cloud computing security.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Gupta, Punit UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Ciara O'Brien
Date Deposited:	25 Mar 2025 18:33
Last Modified:	25 Mar 2025 18:33
URI:	https://norma.ncirl.ie/id/eprint/7330

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